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CEO, Bright Money | Building the Artificial Intelligence Bank, auto-driven by Data.
Co-Founder and CEO (joint) of Bright Money. Consumer FinTech powered by Data Sciences. Background: VP of InMobi's Data Sciences and Machine Learning teams: Launched the InMobi Machine Learning Academy - 800 InMobians participated and 150 Engineer graduates. Launched the InMobi University Research Program - research programmes with 4 global universities. Leader of the InMobi Machine Learning Platform - Sigma. Delivered 70 use cases to production in 2018 - including Deep Learning models (CNNs and RNNs). Leader within the McKinsey's Advanced Analytics practice: Delivered 31 projects at clients of McKinsey&Co in Advanced Analytics, Strategy, Operations and Organisation projects, as the Analytics Expert, Senior Engagement manager or Associate/Analyst. Project experience across 8 verticals: Automotive; Financial services; Manufacturing; IT services and Technology; Energy and Materials; Pharma and Health; Public infrastructure and development; FMCG. Experience in designing analytics models for business use cases incl. following techniques: Logistic regression; Decision trees (CART, CHAID); Boosting algorithms (Xgboost); Ensemble (Random Forest); Clustering; Neural networks; Support Vector Machines; Time series analytics (ARMA); Principal components; Regularized regression (Ridge, Lasso, ElasticNet); Nearest Neighbour algorithms; Association Rules (Apriori); Text mining. Designed and product managed 20+ web and mobile (Android, iOS) applications, interfaces and digital performance dashboards, across McKinsey&Co projects, and tech start-up experience. Co-founded and ran Entrepreneurs' Club in London with 400+ members, and have previously organised 4 Entrepreneur pitching events with Angel and Venture investors.
The London School of Economics and Political Science (LSE)
MSc Economics (Research), Economics
January 1, 2012 – January 1, 2013
The London School of Economics and Political Science (LSE)
MSc Philosophy, (Advanced Logic, Set Theory, Philosophy of Economics)
January 1, 2010 – January 1, 2011
University of Oxford
MA (Hons), Philosophy, Politics and Economics (incl. Statistics and Economic Theory)
January 1, 2003 – January 1, 2006
Harrow School
A-Levels in, Maths, Economics, Physics, Government & Politics
January 1, 1998 – January 1, 2003
Bright Money
CEO (joint), Co-founder
April 1, 2019 – Present
San Francisco Bay Area
InMobi
Vice-President, Data Sciences and Machine Learning
September 1, 2017 – April 1, 2019
Bengaluru Area, India
McKinsey & Company
Senior Engagement Manager, and Advanced Analytics Expert
September 1, 2013 – July 1, 2017
London, United Kingdom
Patch Consultants Ltd.
Management consultant (freelance)
July 1, 2012 – July 1, 2013
London, United Kingdom
Harrow Entrepreneurs & Investors Club
Chairman, Managing Committee
December 1, 2011 – October 1, 2013
London, United Kingdom
Start-up M.A.F.I.A
Co-founder
January 1, 2011 – December 1, 2012
London, United Kingdom
Kliqed Ltd.
Commercial Director
January 1, 2011 – August 1, 2012
London, United Kingdom
McKinsey & Company
Business Analyst consultant
October 1, 2008 – October 1, 2010
London, United Kingdom
Satyam Computer Services
Leadership development: Programme designer and Facilitator
September 1, 2006 – July 1, 2007
Hyderabad Area, India
Cultural Fit Analysis
The candidate's diverse experience across consulting, startups, and established tech companies (InMobi, Bright Money) indicates adaptability and a broad understanding of different organizational cultures. Their entrepreneurial background and leadership roles suggest a proactive, results-oriented individual who can thrive in dynamic environments. However, the target role of 'Software Engineer' might be a significant shift from their recent executive and strategic roles, potentially indicating a mismatch in day-to-day responsibilities and expectations.
Soft Skills & Operational Fit
The candidate's experience as a CEO, VP of Data Sciences, and Senior Engagement Manager at McKinsey suggests strong leadership, strategic thinking, and operational management skills. Their involvement in building teams and academies indicates a proactive approach to skill development and organizational growth. The co-founder roles highlight entrepreneurial drive and problem-solving capabilities.